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Prof Dr.-Ing. Hans Burkhardt
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Chair of Pattern Recognition and Image Processing
Institute for Computer Science
Albert-Ludwigs-University
Georges-Koehler-Allee 052, room 01-030
D-79110 Freiburg i.Br.
GERMANY
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| Telefon: |
+49-(0)761-203-8261/8260(Secr.)
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| Fax: |
+49-(0)761-203-8262
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| Email: |
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Hans Burkhardt obtained his
Dipl.-Ing. degree in
electrical engineering in 1969, Dr.-Ing. degree in 1974, and the Venia Legendi in 1979 from the University of Karlsruhe,
Germany. From 1969 he was Research Assistant and in 1975 he became Lecturer at
the University of Karlsruhe. During 1980-81 he had a scientific
fellowship at the IBM Research Laboratory, San Jose, CA. In 1981 he became Professor for
Control and Signal Theory at the University of Karlsruhe. During 1985-1996 he was full
Professor at the Technical University of Hamburg and director of an Institute
in the Computer Science Department and additionally scientific advisor between 1990
and 1996 for the Microelectronic Application Center
(MAZ) in Hamburg. Since 1997 he is full Professor at the
Computer Science Department of the University of Freiburg; director of an
Institute for Pattern Recognition and Image Processing and currently Deputy
Dean of the Faculty for Applied Sciences. Since 2000 he is president of the
German Association for Pattern Recognition (DAGM). He is a member of the
"Academy of Sciences and Humanities, Heidelberg", of “acatech”
(Council of Technical Sciences of the German Academies of Sciences) and a
Fellow of the International Association for Pattern Recognition (IAPR).
2003/2004 he was on a sabbatical leave for half a year as a Visiting Researcher
at the National ICT (NICTA) at the Australian National University (ANU) in
Canberra, Australia.
He has published over 150
papers and given more than 200 lectures. He is a consultant for several
national and international institutions e.g. the German Science Foundation
(DFG), the European Commission and different international organizations and
journals. In 1998 he was chair of the European Conference on Computer Vision
(ECCV).
Experience: Invariants in
pattern recognition, optimal image restoration methods, motion estimation
algorithms, parallel algorithms in image processing and pattern recognition,
image analysis and vision guided control of combustion processes.